Intelligent wearable device and voice-controlled lamp dimming method and system thereof

Abstract

The invention provides intelligent wearable equipment and a voice lamp control dimming method and system thereof, and belongs to the technical field of light control. According to the method, intelligent wearable equipment serves as a Bluetooth Mesh network master control node, a unicast address and / or a multicast address are / is configured for each photography lamp with a unique equipment identifier to achieve multi-lamp networking, single-lamp precise control is supported, the multi-lamp cooperative regulation and control requirement can be met, and the light distribution requirement of a complex shooting scene is met. Meanwhile, the relative distance between the photography lamp and the user is estimated by scanning the Bluetooth signal intensity, the target photography lamp is determined by combining the user instruction extracted through voice recognition and semantic analysis, the user does not need to memorize the lamp number or position association relation, the target can be accurately positioned through natural language description, the operation threshold and the dimming error can be reduced, and the user experience is improved. The reliability and timeliness of dimming operation are ensured, and the light regulation and control experience in a shooting scene is greatly optimized.

Description

Technical Field

[0001] This application relates to the field of lighting control technology, and in particular to a smart wearable device and its voice-controlled lighting dimming method and system. Background Technology

[0002] In the fields of photography and film production, lighting control is a core element in shaping the atmosphere of a scene, highlighting the subject, and enhancing visual expressiveness. Traditional lighting control methods mainly rely on physical button consoles or touchscreen apps, requiring photographers to manually adjust parameters such as brightness, color temperature, and lighting effects. This approach is acceptable in static shooting scenarios, but in dynamic shooting (such as tracking shots, multi-camera collaboration, or live broadcasts), photographers need to frequently switch between devices, leading to inefficiency, distraction, and disruption to the smoothness of the shoot. For example, in filmmaking, photographers need to adjust lighting while simultaneously managing composition and actor movement; manual operation may delay crucial moments. Furthermore, in live broadcasts, quickly responding to audience interaction (such as real-time lighting adjustments) also presents a challenge.

[0003] In related technologies, voice control has been applied in the smart home field as an alternative, such as controlling light switches and basic dimming via voice assistants (like Alexa or Google Assistant). However, these solutions lack spatial awareness and cannot distinguish the specific light fixture the user intends to point to, leading to ambiguity in multi-light scenarios. Summary of the Invention

[0004] To address at least one of the aforementioned issues, this application provides a smart wearable device and its voice-controlled lighting dimming method and system. The device aims to estimate the relative distance between the photography light and the user by scanning the Bluetooth signal strength, thereby accurately locating the target light and enabling more convenient, precise, and intelligent voice-controlled lighting dimming in photography, film and television shooting, and other scenarios.

[0005] According to one aspect of the embodiments of this application, a voice-controlled light dimming method is provided, applied to a smart wearable device, the method comprising:

[0006] The smart wearable device acts as the master node of the Mesh network and forms a Bluetooth mesh network with multiple photography lights. Each of the photography lights has a unique device identifier and is configured with a unicast address and / or a multicast address. The smart wearable device scans and acquires the Bluetooth signal strength of each of the photography lights, and estimates the relative distance between each photography light and the user based on the Bluetooth signal strength of each photography light; The smart wearable device collects the user's voice signal and performs speech recognition and semantic parsing on the user's voice signal to extract user commands; The smart wearable device determines the target photography light to be dimmed based on the user's instructions and the estimated relative distance between each photography light and the user. The smart wearable device generates a corresponding dimming control command based on the user's instruction and sends the dimming control command to the target photography light to drive the target photography light to perform the corresponding light adjustment operation.

[0007] In some embodiments, after the smart wearable device generates a corresponding dimming control command based on the user instruction and sends the dimming control command to the target photography light to drive the target photography light to perform a corresponding light adjustment operation, the method further includes: The smart wearable device announces the result of the light adjustment operation through a voice broadcast module, and / or the smart wearable device displays the result of the light adjustment operation through a display module.

[0008] In some embodiments, the smart wearable device collects user voice signals and performs speech recognition and semantic parsing on the user voice signals to extract user commands, including: The smart wearable device collects the user's voice signal and converts the user's voice signal into text information through a local or cloud-based automatic speech recognition engine; The smart wearable device uses a natural language understanding module or a large model to perform semantic parsing on the text information in order to extract user instructions.

[0009] In some embodiments, the user instruction includes at least one user intent, which represents a light adjustment operation on one of the plurality of photographic lights.

[0010] In some embodiments, the lighting adjustment operation includes at least one of lighting brightness adjustment, lighting color temperature adjustment, lighting color adjustment, lighting focal length adjustment, lighting rotation, and lighting pitch angle adjustment.

[0011] In some embodiments, the smart wearable device generates a corresponding dimming control command based on the user instruction and sends the dimming control command to the target photography light to drive the target photography light to perform a corresponding light adjustment operation, including: The smart wearable device obtains target parameter adjustment information corresponding to the target photography light to be dimmed according to the user's instructions; The smart wearable device acquires the current values ​​of the target parameters of the target photography light; The smart wearable device calculates the target value of the target parameter corresponding to the target photography light based on the current value of the target parameter of the target photography light and the target parameter adjustment information; The smart wearable device generates a corresponding dimming control command based on the target value of the target parameter corresponding to the target photography light, and sends the dimming control command to the target photography light to drive the target photography light to perform the corresponding light adjustment operation.

[0012] In some embodiments, the smart wearable device generates a corresponding dimming control command based on the user instruction and sends the dimming control command to the target photography light to drive the target photography light to perform a corresponding light adjustment operation, including: The smart wearable device obtains target parameter adjustment information corresponding to the target photography light to be dimmed according to the user's instructions; The smart wearable device generates a corresponding dimming control command based on the target parameter adjustment information corresponding to the target photography light, and sends the dimming control command to the target photography light, so that the target photography light calculates the target value of the target parameter corresponding to the target photography light based on the current value of the target parameter of the target photography light and the target parameter adjustment information, and performs corresponding light adjustment operation based on the target value of the target parameter.

[0013] In some embodiments, the smart wearable device pre-configures the light adjustment operation type, adjustment step size, and maximum adjustable value for each type of photographic light.

[0014] According to one aspect of the embodiments of this application, a smart wearable device is provided, comprising: Bluetooth communication module, through which the smart wearable device can form a Bluetooth mesh network with each photography light; A voice acquisition module, which is used to acquire user voice signals; The main control module is connected to the Bluetooth communication module and the voice acquisition module respectively. The main control module is used to execute the method described in any embodiment of this application.

[0015] In some embodiments, the smart wearable device further includes: A voice broadcast module, which is connected to the main control module, is used to broadcast the results of the lighting adjustment operation; and / or a display module, the display module being connected to the main control module, the display module being used to display the result of the light adjustment operation.

[0016] In some embodiments, the smart wearable device further includes: An NFC module is connected to the main control module. When the smart wearable device approaches the camera light, the NFC module performs NFC communication and triggers the Bluetooth mesh network.

[0017] According to one aspect of the embodiments of this application, a voice-controlled lighting dimming system is provided, comprising: The smart wearable device described in any embodiment of this application; Multiple camera lights are connected to the smart wearable device via Bluetooth mesh networking. Each camera light has a unique device identifier and is configured with a unicast address and / or multicast address. The technical solutions provided by the embodiments of this application have at least the following beneficial effects: The solution disclosed in this application uses a smart wearable device as the master node of a Bluetooth Mesh network. Each photographic light with a unique device identifier is configured with a unicast address and / or multicast address to achieve multi-light networking. This supports both precise control of a single light and the need for collaborative control of multiple lights, adapting to the lighting requirements of complex shooting scenarios. Simultaneously, by scanning the Bluetooth signal strength to estimate the relative distance between the photographic light and the user, and combining user commands extracted through voice recognition and semantic parsing, the target photographic light is determined. Users do not need to remember light numbers or location relationships; they can accurately locate the target through natural language descriptions, reducing the operational threshold and dimming errors. Furthermore, replacing traditional button consoles or touchscreen APP operations with voice control frees the user's hands. Users can adjust the dimming in real time without interrupting their shooting. Combined with the portability of smart wearable devices, this further enhances operational flexibility and shooting efficiency. Generating and sending dimming commands based on user voice commands ensures the reliability and timeliness of dimming operations, significantly optimizing the lighting control experience in shooting scenarios.

[0018] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit this application. Attached Figure Description

[0019] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the specification, serve to explain the principles of this application.

[0020] Figure 1 This is a schematic diagram of the architecture of a voice-controlled lighting dimming system provided in one embodiment of this application.

[0021] Figure 2 This is a first structural schematic block diagram of a smart wearable device provided in an embodiment of this application.

[0022] Figure 3 This is a schematic block diagram of the second structure of a smart wearable device provided in an embodiment of this application.

[0023] Figure 4 This is a structural diagram of a smart glasses provided in an embodiment of this application.

[0024] Figure 5 This is a structural diagram of another type of smart glasses provided in an embodiment of this application.

[0025] Figure 6 This is a flowchart of a voice-controlled light dimming method performed by a smart wearable device according to an embodiment of this application.

[0026] Figure 7 This is a flowchart illustrating the steps of a smart wearable device according to an embodiment of the present application to collect user voice signals and perform speech recognition and semantic parsing on the user voice signals to extract user commands.

[0027] Figure 8 This is a flowchart illustrating the steps of a smart wearable device according to an embodiment of the present application to generate a corresponding dimming control command based on a user instruction and send the dimming control command to the target photography light to drive the target photography light to perform a corresponding light adjustment operation.

[0028] Figure 9 This is another step in the flowchart of an embodiment of the present application of a smart wearable device that generates a corresponding dimming control command according to a user instruction and sends the dimming control command to the target photography light to drive the target photography light to perform a corresponding light adjustment operation. Detailed Implementation

[0029] To make the objectives, implementation methods, and advantages of this application clearer, exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these exemplary embodiments are provided to make the description of this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art. It should be noted that the brief descriptions of terminology in this application are merely for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of this application. Unless otherwise stated, these terms should be understood in their ordinary and common meaning.

[0030] In the description of this application, it should be understood that the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include one or more features.

[0031] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily need to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0032] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0033] In photography and film shooting, the dimming control of photography lights is a crucial aspect of ensuring shooting results. Traditional methods of dimming photography lights mainly rely on wired button control consoles or mobile device touch screen apps. Wired control consoles suffer from complex wiring and limited control range, making them unsuitable for scenarios with multiple lights distributed across the scene. Furthermore, operation requires the user to be close to the control console, interrupting the shooting process and impacting efficiency. Mobile apps, on the other hand, require the user to hold the device and operate it by touch, which can easily distract the user during shooting. It is also difficult to quickly and accurately locate the target light, especially in scenarios where multiple lights work together, requiring manual selection of light numbers or positions, which is cumbersome and prone to selection errors.

[0034] In related technologies, voice control has been applied in the smart home field as an alternative, such as controlling light switches and basic dimming via voice assistants (like Alexa or Google Assistant). However, these solutions lack spatial awareness and cannot distinguish the specific light fixture the user intends to point to, leading to ambiguity in multi-light scenarios.

[0035] Based on this, embodiments of this application provide a smart wearable device and its voice-controlled lighting dimming method and system. By scanning the Bluetooth signal strength to estimate the relative distance between the photography light and the user, the target light can be accurately located, enabling more convenient, accurate, and intelligent voice-controlled lighting dimming in scenarios such as photography and film shooting.

[0036] Reference Figure 1 , Figure 1 This is a schematic diagram of the architecture of a voice-controlled lighting dimming system provided in one embodiment of this application. Figure 1 As shown, the voice-controlled lighting dimming system includes a smart wearable device 100 and multiple photography lights 200. The multiple photography lights 200 are networked with the smart wearable device 100 via Bluetooth mesh, wherein each photography light 200 has a unique device identifier and is configured with a unicast address and / or a multicast address.

[0037] The smart wearable device 100 can communicate with each of the photography lights 200 on site via Bluetooth. Specifically, the smart wearable device 100 can act as the master node of the Bluetooth Mesh network, configuring a unicast address and / or multicast address for each photography light 200 with a unique device identifier to achieve multi-light networking. This supports both precise control of a single light and the need for coordinated control of multiple lights, adapting to the lighting requirements of complex shooting scenarios. Simultaneously, the smart wearable device can estimate the relative distance between each photography light 200 and the user by scanning the Bluetooth signal strength. This allows for precise location of the target light based on the user's voice commands, and the generation of corresponding dimming commands based on these commands can be sent to the corresponding target light to drive it to perform appropriate lighting adjustments, achieving precise lighting control.

[0038] It should be noted that in this embodiment, the network configurator can be the smart wearable device 100 (i.e., "the publisher also acts as the network configurator"), or it can be a device terminal (such as a mobile phone, tablet, computer, or other devices) with a corresponding application (APP) installed. In this case, the device terminal is only responsible for completing the network configuration of the photography light. After the configuration is completed, the core control authority of the network can be transferred to the smart wearable device 100, and it will no longer participate in subsequent light control command interactions. The core responsibility of the smart wearable device 100 as the "master node" is not limited to network configuration, but after the network is established, as the core message publisher in the network, it initiates and issues key commands: on the one hand, it obtains the status data of the photography light by scanning the Bluetooth signal strength (RSSI) to complete the target device location; on the other hand, it generates dimming control commands based on user voice commands and sends them to the target photography light through the BLE Mesh protocol stack (unicast address corresponds to a single light, multicast address corresponds to a group of lights) to drive the light adjustment operation. In other words, the "network configuration and access" and "control command issuance" of Bluetooth Mesh networking can be completed by different devices. The network configuration device is only responsible for the device to enter the network, while the smart wearable device 100, as the "master node", plays the role of "message publisher" and takes the lead in generating and issuing light control commands.

[0039] In some embodiments, the smart wearable device 100 can also establish a communication connection with the cloud, thereby uploading the collected user voice signals to the cloud, whereby the cloud performs voice recognition and semantic parsing to extract user intent or user instructions, and then sends the extracted user instructions to the smart wearable device 100.

[0040] Among them, the smart wearable device 100 includes headsets (or earphones, headphones), smart glasses, bracelets, watches, rings, helmets and other wearable or wearable devices. The specific form of the smart wearable device 100 is not specifically limited in the embodiments of this application.

[0041] As a controlled terminal, the photography light 200 has a unique device identifier (such as a MAC address or UUID) and can be equipped with a built-in Bluetooth module to support Bluetooth Mesh networking. During the network configuration phase, the photography light 200 will be assigned a unicast address (for precise control of a single light) and / or a multicast address (for collaborative control of multiple lights in groups). Some models support NFC functionality for convenient "NFC-enabled light addition". The light source types of the photography light 200 can cover dual-color temperature LEDs, RGB LEDs, RGBW, RGBWW, etc., and the product forms can include stick lights, board lights, COB lights, inflatable lights, cushion lights, flashes, etc., to adapt to the lighting needs of different shooting scenarios. The photography light 200 can respond to commands issued by smart wearable devices, realizing multi-dimensional adjustments such as brightness, color temperature, color, light focus, rotation / tilt angle, etc. It supports fixed value adjustments and default step size (such as 10%) step adjustments. Some models can also realize special light effects such as dynamic light marquee. It also has status feedback capabilities, which can synchronize the dimming result (success / failure) and current parameters to the smart wearable device 100.

[0042] Reference Figure 2 , Figure 2 This is a schematic block diagram of the first structure of a smart wearable device according to an embodiment of this application. The smart wearable device 100 includes a Bluetooth communication module 110. The smart wearable device 100 can form a Bluetooth mesh network with each of the on-site photography lights 200 through the Bluetooth communication module 110.

[0043] The Bluetooth communication module 110 supports the Bluetooth Mesh networking protocol and can initiate the networking process as the master node of the Mesh network, establishing a stable wireless communication connection with each photography light 200 that has a unique device identifier (such as a MAC address or UUID) and is equipped with a Bluetooth communication module. During the network configuration phase, the Bluetooth communication module 110 assigns a dedicated unicast address to each connected photography light 200 (for precise control of a single light), and also supports assigning multicast addresses to some photography lights according to actual control needs (for grouped collaborative control of multiple lights). It also assists the smart wearable device 100 in maintaining a complete address mapping table, clearly associating the light ID of each photography light 200 with the corresponding unicast / multicast address, ensuring orderly device management after networking. In addition, the Bluetooth communication module 110 also has the function of scanning and acquiring the Bluetooth signal strength (RSSI) of each photography light 200, providing data support for the smart wearable device 100 to estimate the relative distance between the photography light and the user. At the same time, in the subsequent lighting control process, the Bluetooth communication module 110 is also responsible for accurately sending the parsed BLE Mesh dimming control command to the corresponding address of the target photography light 200, ensuring the stability and timeliness of command transmission, and laying the communication foundation for the smooth execution of the entire voice-controlled lighting dimming process.

[0044] Reference Figure 2The smart wearable device 100 also includes a voice acquisition module 120, which is used to acquire user voice signals. The voice acquisition module 120 is the core input module for realizing voice-controlled lighting dimming functions. Its core component is a microphone array, which can accurately capture various voice commands issued by the user in scenarios such as photography and film shooting. Simultaneously, the voice acquisition module 120 also possesses powerful audio preprocessing capabilities. Through noise reduction, echo cancellation, and other technologies, it can effectively filter out interference factors such as environmental noise and equipment operating sounds at the shooting location, ensuring the purity and clarity of the acquired voice signals and laying a high-quality foundation for subsequent voice processing. The voice signals acquired by the voice acquisition module 120 can cover various types, including single-parameter commands (such as "Adjust the brightness of the light closest to me to 88%)" and multi-parameter composite commands (such as "Increase the color temperature of the light closest to me and decrease the brightness of the light farthest from me"). The voice acquisition module 120 can also completely retain the speech features such as pauses in the user's speech, which is convenient for the subsequent ASR engine to recognize and convert into text signals with punctuation marks or segmentation marks. This helps the natural language understanding (NLU) module to accurately segment intent and parse key information (such as target device, control action, adjustment parameters and parameter values). It is a key bridge connecting user commands and device lighting operation, and provides core support for the smooth start of the entire voice lighting control process.

[0045] Reference Figure 2 The smart wearable device 100 also includes a main control module 130. A Bluetooth communication module 110 and a voice acquisition module 120 are connected to the main control module 130. The main control module 130 can be a main processor integrated with Bluetooth functionality. The main control module 130 is used to estimate the relative distance between each camera light 200 and the user based on the Bluetooth signal strength (RSSI) of each camera light 200 scanned and acquired by the Bluetooth communication module 110. Simultaneously, the main control module 130 performs speech recognition and semantic analysis on the user's voice signal acquired by the voice acquisition module 120 to extract user commands. Based on the user commands and the estimated relative distances between each camera light and the user, it determines the target camera light to be dimmed, generates corresponding dimming control commands based on the user commands, and sends the dimming control commands to the target camera light via the Bluetooth communication module 110 to drive the target camera light to perform the corresponding lighting adjustment operation. This completes the voice dimming control of the camera lights within the shooting scene.

[0046] Reference Figure 3 , Figure 3 This is a schematic block diagram of the second structure of a smart wearable device provided in an embodiment of this application. Figure 3As shown, the smart wearable device 100 may also include an NFC module 140. The NFC module 140 is connected to the main control module 130, and the NFC module 140 performs NFC communication and triggers Bluetooth mesh networking when the smart wearable device 100 is close to the camera light 200.

[0047] The NFC module 140 serves as a convenient auxiliary module for Bluetooth Mesh networking. It establishes a connection with and is managed by the main control module 130, its core function being to simplify the network access process for the photography light 200. When the user brings the smart wearable device 100 close to the NFC-enabled photography light 200, the NFC module 140 quickly establishes near-field communication with the corresponding NFC component of the photography light 200, automatically completing device authentication (based on the photography light's unique device identifier such as MAC address or UUID), and triggering the main control module 130 to initiate the Bluetooth Mesh networking process, eliminating the need for complex manual pairing operations by the user. During communication, the NFC module 140 assists in transmitting basic device information of the photography light (such as model and supported control parameters) to the main control module 130, providing data support for the main control module 130 to quickly allocate unicast and / or multicast addresses for the photography light and update the address mapping table. This significantly shortens networking time, improves device access efficiency in multi-light lighting scenarios, allows users to more easily build a lighting control system, and further enhances the ease of use of voice-controlled lighting from smart wearable devices.

[0048] Reference Figure 3 The smart wearable device may also include a voice broadcast module 150. The voice broadcast module 150 is connected to the main control module 130 and is used to announce the results of the lighting adjustment operation. After the main control module 130 completes the dimming command and receives feedback from the target camera light, it synchronizes the dimming result (success or failure) and key information to the voice broadcast module 150. This module uses text-to-speech (TTS) technology to convert text information into natural speech for broadcast. Specifically, if the dimming is successful, the voice broadcast module 150 will accurately announce the operation details. For example, if the user command is "Adjust the brightness of the nearest light to me to 80%", the voice broadcast module 150 can announce "The brightness of the nearest light has been adjusted to 80%". If it is a step adjustment (such as "Increase brightness"), the voice broadcast module 150 can announce the corresponding state after the step adjustment. If dimming fails (e.g., signal timeout, lamp offline, lamp does not support this parameter adjustment), the voice broadcast module 150 can promptly broadcast fault prompts, such as "Adjustment failed, please check if the lamp is online" or "This lamp does not support color temperature adjustment," helping users quickly locate the problem. The voice broadcast module 150's voice is clear, concise, and highly recognizable, adaptable to complex shooting environments, ensuring users can know the lighting control results in real time without viewing the display interface, further enhancing the convenience and interactive experience of voice-controlled lighting, making the entire lighting control process more intuitive and efficient.

[0049] Reference Figure 3 The smart wearable device may also include a display module 160. The display module 160 is connected to the main control module 130 and is used to display the results of the light adjustment operation. The display module 160 can be used to intuitively present the relevant results of the light adjustment operation, providing visual feedback to the user, and forming a dual feedback mechanism with the voice broadcast module 150.

[0050] After the main control module 130 completes the issuance of the dimming command and the reception of the result, it will synchronize the dimming status, key parameters, and other information to the display module 160. Specifically, if dimming is successful, the display module 160 can clearly display a dimming success prompt message, and can also sequentially or cyclically display the specific parameters of the target lamp (or lamp group) after dimming, such as "The nearest lamp is currently at a color temperature of 4100K", "The nearest lamp is currently at a brightness of 50%", "The nearest lamp has been adjusted to 88% brightness", etc., allowing users to accurately grasp the current working status of the lamp. If dimming fails (such as signal timeout, lamp offline, lamp not supporting the corresponding parameter adjustment), the display module 160 will display a fault prompt message, such as "Adjustment failed, please check if the lamp is online" or "This lamp does not support color temperature adjustment", etc., to help users quickly troubleshoot the problem. The display module 160 features a simple, clear, and highly recognizable interface that is compatible with wearable devices such as smart glasses. Users can obtain information intuitively through their eyes without any additional operation. Especially in noisy shooting environments where it is inconvenient to rely on voice broadcasts, it can effectively ensure that users know the lighting control results in a timely manner, further improving the convenience, intuitiveness, and reliability of voice-controlled lighting.

[0051] Reference Figure 4 and Figure 5 , Figure 4 This is a structural diagram of a smart glasses embodiment provided in this application. Figure 5 This is a structural diagram of another type of smart glasses provided in one embodiment of this application. This application uses smart glasses as an example of a smart wearable device 100 for detailed description. The smart glasses include a display lens 1 (used to present dimming results, lighting parameters, and fault prompts), an integrated microphone 2 (or microphone array, used to collect voice signals and perform noise reduction and echo cancellation preprocessing), a speaker 3 (used to broadcast dimming results and fault prompts via voice), and a charging port 4 (to ensure device battery life). The smart glasses also include a main processor 5 with integrated Bluetooth (i.e., the aforementioned main control module 130). All hardware components are compactly arranged within the smart glasses body, satisfying both wearability convenience and supporting the entire process of operation from networking, command acquisition and parsing to lighting control feedback through collaborative work.

[0052] Reference Figure 6 , Figure 6This is a flowchart of a voice-controlled light dimming method performed by a smart wearable device according to an embodiment of this application. The smart wearable device can be any of the smart wearable devices provided in any embodiment of this application. The method includes, but is not limited to, steps S610 to S650.

[0053] In step S610, the smart wearable device acts as the master node of the Mesh network and forms a Bluetooth mesh network with multiple camera lights. Each camera light has a unique device identifier and is configured with a unicast address and / or a multicast address.

[0054] In this step, the smart wearable device 100 (such as smart glasses, smart helmets, smart vests, etc.) initiates the networking process as the master node of the Bluetooth Mesh network, establishing a stable wireless connection with multiple photography lights 200 on site, each with a unique device identifier (such as a MAC address or UUID). During the networking process, "NFC-enabled lights" can be achieved via the NFC module, simplifying the connection operation for the photography lights 200. In the network configuration phase, the smart wearable device 100 assigns a dedicated unicast address to each connected photography light 200 (for precise control of a single light). It also supports assigning multicast addresses to some photography lights 200 based on the needs of multi-light group collaborative control (e.g., grouping multiple background lights together and assigning them a unified multicast address). Simultaneously, it maintains a complete address mapping table, clearly associating the light ID of each photography light 200 with its corresponding unicast / multicast address. At this stage, it can also build and store a device capability model for each photography light (recording supported control parameters such as brightness, color temperature, and color), laying the foundation for subsequent precise light control, command parsing, and device matching, ensuring that each photography light can be managed and controlled in an orderly manner after networking.

[0055] In step S620, the smart wearable device scans and obtains the Bluetooth signal strength of each photography light, and estimates the relative distance between each photography light and the user based on the Bluetooth signal strength of each photography light.

[0056] In this step, the smart wearable device 100, which has completed Bluetooth Mesh networking, can continuously scan the Bluetooth signal strength (RSSI) of each photography light 200 in the network through its built-in Bluetooth communication module 110, and capture specific signal values ​​such as -92dBm and -65dBm. Based on the correlation between Bluetooth signal strength and distance (a higher RSSI value indicates a closer distance between the photography light and the user), and combined with a preset signal strength-distance mapping algorithm, the RSSI data corresponding to each photography light can be analyzed and processed to accurately estimate the relative distance between each photography light and the user wearing the device. This distance data will serve as the core basis for subsequent semantic parsing to select target devices (such as identifying "the light closest to me"), providing crucial data support for accurate positioning of target lights in multi-light scenarios.

[0057] In step S630, the smart wearable device collects the user's voice signal and performs speech recognition and semantic parsing on the user's voice signal to extract user commands.

[0058] In this step, the smart wearable device 100 can collect the user's voice signals for controlling the lights in the shooting scene through its built-in microphone array. After collection, it first performs preprocessing such as noise reduction and echo cancellation to filter environmental interference and improve signal purity. Then, it calls the local or cloud-based ASR (speech recognition) engine, combines acoustic and language models for decoding, and converts the voice signal into a text signal. It can also recognize pauses in the user's speech and automatically insert punctuation marks or segmentation marks (e.g., converting "increase the color temperature of the light closest to me and decrease the brightness of the light farthest from me" into "increase the color temperature of the light closest to me and decrease the brightness of the light farthest from me"). The text signal is semantically parsed through a Natural Language Understanding (NLU) module or a large model. On the one hand, the complex text is segmented to extract multiple independent instruction intents. On the other hand, key information is extracted for each intent, including target device selection conditions (such as "closest to me"), control actions (adjust up, adjust down, adjust to), adjustment parameters (brightness, color temperature, color, focus, etc.) and parameter values ​​(such as 88%, default step size 10%). It also supports the parsing of synonyms such as "warm up" and "cool down" and the decomposition of complex multi-parameter instructions. Finally, clear and executable user instructions are formed, which provide a basis for subsequent target lamp determination and dimming control instruction generation.

[0059] The user instructions include at least one user intent, which represents a lighting adjustment operation for one of a plurality of photography lights. Each user intent explicitly targets a specific lighting adjustment operation for one (or a group of) photography lights in a Bluetooth Mesh network. These user intents can be derived from pauses in the user's speech and can be single-parameter adjustment intents for a single light fixture (e.g., "Adjust the brightness of the light closest to me to 88%"). Each intent clearly includes key elements such as target light fixture selection conditions (e.g., distance), control actions (adjust up, adjust down, adjust to), adjustment parameters (brightness, color temperature, color, focus, etc.), and parameter values ​​(e.g., 88%, default step size 10%), ensuring that the smart wearable device can accurately locate the target light fixture and execute the corresponding lighting adjustment operation.

[0060] Lighting adjustment operations include at least one of the following: brightness adjustment, color temperature adjustment, color adjustment, focus adjustment, rotation adjustment, and tilt angle adjustment. Brightness adjustment supports both fixed numerical adjustments (e.g., to 80%) and preset step adjustments (e.g., 10%). Mesh models commonly use a range of 0-255 or 0-100% to quantize brightness values. Color temperature adjustment supports precise adjustments based on synonyms such as "warmer," "warmer" (corresponding to a decrease in color temperature), "cooler," and "cooler" (corresponding to an increase in color temperature). Color adjustment is compatible with various light sources such as dual-color temperature LEDs, RGB LEDs, RGBW, and RGBWW, and some also support special lighting effects modes such as dynamic color light effects. Focus, rotation, and tilt angle adjustments can be implemented mechanically or electronically based on user voice commands to meet the lighting angle and focus requirements of different shooting scenarios. These adjustments can be triggered by single-parameter or multi-parameter composite voice commands, which are then analyzed by smart wearable devices to generate corresponding control signals that drive the target lighting precisely.

[0061] Specifically, refer to Figure 7 , Figure 7 This application provides a flowchart of the steps for a smart wearable device to collect user voice signals and perform speech recognition and semantic parsing on the user voice signals to extract user commands, including but not limited to steps S710 to S720.

[0062] Step S710: The smart wearable device collects the user's voice signal and converts the user's voice signal into text information through a local or cloud-based automatic speech recognition engine. In step S720, the smart wearable device performs semantic parsing of the text information through a natural language understanding module or a large model to extract user instructions.

[0063] In this embodiment, the smart wearable device 100 can accurately collect the user's voice signals for controlling lights in scenarios such as photography and film shooting through its built-in microphone array. These signals can cover various types, including single-parameter commands (such as "adjust the brightness of the light closest to me to 88%)" and multi-parameter composite commands (such as "increase the color temperature of the light closest to me, and decrease the brightness of the light farthest from me"). After collection, the device first performs preprocessing on the voice signal, such as noise reduction and echo cancellation, to effectively filter out interference factors such as environmental noise and equipment operating sounds at the shooting location, ensuring signal purity. Subsequently, the smart wearable device 100 can call upon a local or cloud-based Automatic Speech Recognition (ASR) engine, combining an acoustic model and a language model for decoding. The acoustic model is responsible for determining the optimal phoneme sequence that generates the acoustic features of the speech, while the language model, based on massive amounts of text training results, selects the most grammatically and semantically reasonable word sequence, ultimately converting the speech signal into text information. During this process, the engine can recognize pauses in the user's spoken language and automatically insert punctuation marks (such as commas and periods) or segmentation marks. For example, it can convert speech text without punctuation into "Turn up the color temperature of the light closest to me and turn down the brightness of the light farthest from me", providing a clear foundation for subsequent semantic parsing and intent segmentation.

[0064] Next, the smart wearable device 100 can perform deep analysis of the text information converted in step S710 through its built-in Natural Language Understanding (NLU) module or large model. First, intent segmentation is performed. For compound text containing multiple light control needs, independent instruction intents are separated (e.g., the above compound text is split into two sub-intents: "Increase the color temperature of the light closest to me" and "Decrease the brightness of the light farthest from me"). Then, according to preset parsing rules, the key elements of each sub-intent are extracted, including the target device selection conditions (e.g., "closest to me", "farthest from me"), control actions (e.g., "increase to", "increase", "decrease"), adjustment parameters (e.g., brightness, color temperature, color, light focus, light rotation / tilt angle, etc.) and parameter values ​​(e.g., 88%, default step size 10%). During the parsing process, it also supports synonym conversion (e.g., "warming up" and "adjusting to warmer" are parsed as a decrease in color temperature, while "cooling down" and "cooling down" are parsed as an increase in color temperature) and the decomposition of complex multi-parameter commands. Simultaneously, it combines the equipment capability model defined in the distribution network phase to verify parameter adaptability (e.g., determining whether the luminaire supports color temperature adjustment). Finally, the parsing results are integrated into clear and executable user commands, providing a precise basis for subsequent target luminaire determination, dimming parameter calculation, and control command generation.

[0065] In step S640, the smart wearable device determines the target camera light to be dimmed based on the user's instructions and the estimated relative distance between each camera light and the user.

[0066] In this step, after extracting the user command and estimating the relative distance between each photography light 100, the smart wearable device 100 can deeply correlate the two to accurately determine the target photography light to be dimmed. Specifically, it first extracts the target device selection conditions contained in the user command. These conditions may be expressions that rely on distance judgment, such as "closest to me" (the corresponding filtering logic is to select the photography light with the smallest relative distance, i.e., the largest Bluetooth signal strength (RSSI)). Then, the smart wearable device 100 can call the previously maintained address mapping table (light ID - unicast address / multicast address) and device capability model. On the one hand, it accurately maps semantic tags to photography lights in the network. On the other hand, it combines the estimated relative distance to filter lights that meet the conditions, while verifying whether the target light supports the corresponding adjustment parameters in the command (such as determining whether the target light supports color temperature adjustment). Finally, it locks a unique or a group of target photography lights to be dimmed from multiple photography lights in the Bluetooth Mesh network and obtains their corresponding unicast or multicast addresses, providing accurate target pointing for the subsequent generation and issuance of dimming control commands.

[0067] In step S650, the smart wearable device generates a corresponding dimming control command based on the user's instruction and sends the dimming control command to the target photography light to drive the target photography light to perform the corresponding light adjustment operation.

[0068] In this step, after identifying the target camera light to be dimmed, the smart wearable device 100 can perform precise calculations of the dimming parameters based on the user instructions extracted through semantic parsing (including key information such as control actions, adjustment parameters, and parameter values). Specifically, if the instruction is a "adjust to a specified value" type (such as "adjust brightness to 80%)", the adjusted parameter value can be obtained by multiplying the maximum brightness value by a specified ratio according to the brightness quantization range commonly used in Mesh models of 0-255 or 0-100%. If the instruction is a "adjust up" or "adjust down" type step adjustment instruction (such as "adjust brightness up"), the current parameter status of the target camera light can be obtained through Mesh status query or local cache, and the target parameter value can be calculated by combining it with a preset adjustment step size (such as 10%). At the same time, it can verify whether the target camera light supports the adjustment parameter (such as determining whether the lamp supports color temperature adjustment). Subsequently, a dimming control instruction conforming to the BLE Mesh protocol specification can be constructed based on the calculated target parameter value and the unicast address (or multicast address) corresponding to the target camera light. Finally, the smart wearable device uses its built-in Bluetooth communication module and BLE Mesh protocol stack to accurately send the control command to the target photography light, thereby driving the target photography light to perform corresponding lighting adjustment operations such as brightness, color temperature, color, light focus, rotation or tilt angle, completing the closed-loop control from command generation to execution.

[0069] Specifically, refer to Figure 8 , Figure 8This application provides a flowchart of the steps for a smart wearable device to generate a corresponding dimming control command based on a user instruction and send the dimming control command to the target photography light to drive the target photography light to perform a corresponding light adjustment operation, including but not limited to steps S810 to S840.

[0070] In step S810, the smart wearable device obtains the target parameter adjustment information corresponding to the target photography light to be dimmed according to the user's instructions.

[0071] In this step, after completing voice recognition and semantic analysis, the smart wearable device 100 can accurately filter out the target parameter adjustment information corresponding to the target photographic light to be dimmed from the extracted user commands. This target parameter adjustment information covers core control elements: first, control actions, including types such as "adjust to," "adjust up," and "adjust down." If it is color temperature adjustment, it also includes the action logic corresponding to synonyms such as "warm up" and "cool down" ("warm up" corresponds to a decrease in color temperature value, and "cool down" corresponds to an increase in color temperature value); second, adjustment parameters, specifying specific adjustment dimensions such as brightness, color temperature, color, light focus, and the rotation or tilt angle of the light; and third, associated parameter values. For commands like "adjust to," it includes specific values ​​(e.g., 88%), while commands like "adjust up" and "adjust down" correspond to preset adjustment steps (e.g., 10%). For complex multi-parameter commands, they have been broken down into single sets of adjustment information during the semantic analysis stage to ensure that the content obtained in this step accurately corresponds to a single adjustment requirement.

[0072] Step S820: The smart wearable device acquires the current value of the target parameters of the target photography light.

[0073] In this step, the smart wearable device 100 can obtain the current values ​​of the adjustment parameters corresponding to the target photography light in two ways: first, by sending a status query command to the target photography light via a Bluetooth Mesh network to obtain its current parameter data in real time; second, by directly calling the historical parameter information of the photography light stored in the local cache (this cache is updated synchronously after each dimming to ensure data timeliness). The obtained current values ​​need to conform to the parameter quantification standard. For example, the brightness value needs to correspond to the 0-255 or 0-100% range commonly used in the Mesh model to provide a unified data foundation for subsequent calculations. At the same time, if the target parameter is an adjustment dimension not supported by the device capability model (such as the color adjustment of white light fixtures), it will be identified and marked synchronously at this stage to prepare for subsequent feedback of fault information.

[0074] In step S830, the smart wearable device calculates the target value of the target parameter corresponding to the target photography light based on the current value of the target parameter of the target photography light and the target parameter adjustment information.

[0075] In this step, the smart wearable device 100 calculates the target value according to the current value of the target parameter and the target parameter adjustment information, following the corresponding rules. Specifically, for a "raise to" type of instruction, the specific value in the instruction can be directly used as the target value (brightness needs to be converted according to the quantization range, such as converting 80% to the corresponding value in the 0-255 range); for a "raise" or "lower" type of step adjustment instruction, the current value is used as the base, and a preset step size is added or subtracted (e.g., if the current brightness is 50%, after raising it by 10%, the target value is 60%), ensuring that the adjustment range meets the user's expectations. During the calculation process, it will check whether the target value is within the maximum adjustable range of the parameter to avoid exceeding the device's adjustment limits. If it exceeds the limits, the maximum or minimum value will be automatically used as the target value.

[0076] In step S840, the smart wearable device generates a corresponding dimming control command based on the target value of the target parameter corresponding to the target photography light, and sends the dimming control command to the target photography light to drive the target photography light to perform the corresponding light adjustment operation.

[0077] In this step, the smart wearable device 100 combines the calculated target value of the target parameters with the unicast address (or multicast address, for group control scenarios) of the target camera light to construct a dimming control command conforming to the BLE Mesh protocol specification, clearly defining the recipient and execution standard of the command. Subsequently, the control command is precisely sent to the target camera light via the built-in Bluetooth communication module and the BLE Mesh protocol stack. Upon receiving the command, the target camera light performs the corresponding light adjustment operation to ensure the parameters are adjusted to the target value. If the adjustment fails (e.g., signal timeout, device offline), it will report the fault information to the smart wearable device, which will then notify the user via voice or display.

[0078] In some embodiments, refer to Figure 9 , Figure 9 This is a flowchart of another step in the process of a smart wearable device according to an embodiment of the present application generating a corresponding dimming control command based on a user instruction and sending the dimming control command to the target photography light to drive the target photography light to perform a corresponding light adjustment operation, including but not limited to steps S910 to S920.

[0079] Step S910: The smart wearable device obtains the target parameter adjustment information corresponding to the target photography light to be dimmed according to the user's instructions; In step S920, the smart wearable device generates a corresponding dimming control command based on the target parameter adjustment information corresponding to the target photography light, and sends the dimming control command to the target photography light so that the target photography light calculates the target value of the target parameter corresponding to the target photography light based on the current value of the target parameter and the target parameter adjustment information, and performs the corresponding light adjustment operation based on the target value of the target parameter.

[0080] In this embodiment, after completing voice recognition and semantic parsing, the smart wearable device 100 can accurately extract the target parameter adjustment information corresponding to the target photography light to be dimmed from the extracted user commands. Next, based on the target parameter adjustment information obtained in step S910, the smart wearable device 100 can construct a dimming control command conforming to the BLE Mesh protocol specification, combined with the unicast address (or multicast address, for group control scenarios) of the target photography light. The command clearly includes key information such as control actions, adjustment parameters, and associated parameter values, but does not need to carry the current and target values ​​of the parameters. Subsequently, the smart wearable device 100 can accurately send the control command to the target photography light via the BLE Mesh protocol stack through its built-in Bluetooth communication module. After receiving the command, the target photography light first calls its own stored target parameter current value (or obtains the real-time current value through device status self-check), and then calculates the target value according to preset rules and the adjustment information in the command. Specifically, for commands like "increase to," the target light directly uses the specific value in the command as the target value (brightness must be compatible with the quantization range of the Mesh model, which is 0-255 or 0-100%). For step commands like "increase" or "decrease," the target light uses the current value as a base, adding or subtracting a preset step size to calculate the target value. During the calculation, it checks whether the target value is within its maximum adjustable range to avoid exceeding the device's adjustment limits. Finally, based on the calculated target parameter values, the target light executes the corresponding light adjustment operation, completing precise adjustments to dimensions such as brightness, color temperature, and color. If signal abnormalities or parameters exceeding the range occur during the adjustment process, the target light will report fault information to the smart wearable device 100, which will then inform the user via voice broadcast or display module (e.g., "Adjustment failed, please check if the light is online"). Understandably, smart wearable devices can pre-configure the light adjustment operation type, adjustment step size, and maximum adjustable value for each type of photographic light. Specifically, the smart wearable device 100 can target different types of photographic lights, such as stick lights, board lights, COB lights, gas lights, and flashes, based on their light source characteristics (e.g., dual-color temperature LED, RGB). Standardized configurations are pre-completed for LED, RGBW, RGBWW, and other supported control channels. Specifically, this includes configuring corresponding light adjustment operation types (such as basic brightness adjustment, color temperature adjustment for dual-color temperature lights, color adjustment for RGB series lights, and focal length, rotation, and tilt angle adjustment for lights with mechanical functions) according to the hardware capabilities of each type of photography light. Adjustment step sizes are preset for each adjustment type to adapt to the characteristics of the device (such as a default step size of 10% for brightness and color temperature adjustment, and a reasonable step size preset according to the mechanical precision of the device) and the maximum adjustable value range is configured according to the hardware parameter limits of each type of photography light (such as brightness following the quantization standard of 0-255 or 0-100% of the Mesh model, color temperature preset with upper and lower limits according to the actual coverage of the device, and angle adjustment with the physical limits of the mechanical structure as the boundary). These configurations are associated with the device identifier of each type of photography light and stored locally. They can be automatically matched and called after subsequent networking to ensure that the dimming operation is accurate, efficient, and in line with the characteristics of the device.

[0081] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0082] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0083] In another aspect, this application also provides a computer-readable medium, which may be included in the terminal device described in the above embodiments; or it may exist independently and not assembled into the terminal device. The computer-readable medium carries one or more programs, which, when executed by the terminal device, cause the terminal device to implement the methods described in the above embodiments.

[0084] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0085] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the methods according to the embodiments of this application.

[0086] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the appended claims.

Claims

1. A voice-controlled light dimming method, characterized in that, Applied to smart wearable devices, the method includes: The smart wearable device acts as the master node of the Mesh network and forms a Bluetooth mesh network with multiple photography lights. Each of the photography lights has a unique device identifier and is configured with a unicast address and / or a multicast address. The smart wearable device scans and acquires the Bluetooth signal strength of each of the photography lights, and estimates the relative distance between each photography light and the user based on the Bluetooth signal strength of each photography light; The smart wearable device collects the user's voice signal and performs speech recognition and semantic parsing on the user's voice signal to extract user commands; The smart wearable device determines the target photography light to be dimmed based on the user's instructions and the estimated relative distance between each photography light and the user. The smart wearable device generates a corresponding dimming control command based on the user's instruction and sends the dimming control command to the target photography light to drive the target photography light to perform the corresponding light adjustment operation.

2. The method according to claim 1, characterized in that, After the smart wearable device generates a corresponding dimming control command based on the user instruction and sends the dimming control command to the target photography light to drive the target photography light to perform the corresponding light adjustment operation, the method further includes: The smart wearable device announces the result of the light adjustment operation through a voice broadcast module, and / or the smart wearable device displays the result of the light adjustment operation through a display module.

3. The method according to claim 1, characterized in that, The smart wearable device collects the user's voice signal and performs speech recognition and semantic parsing on the user's voice signal to extract user commands, including: The smart wearable device collects the user's voice signal and converts the user's voice signal into text information through a local or cloud-based automatic speech recognition engine; The smart wearable device uses a natural language understanding module or a large model to perform semantic parsing on the text information in order to extract user instructions.

4. The method according to claim 1 or 3, characterized in that, The user instructions include at least one user intent, which represents a lighting adjustment operation on one of the plurality of camera lights.

5. The method according to claim 1 or 4, characterized in that, The lighting adjustment operation includes at least one of the following: lighting brightness adjustment, lighting color temperature adjustment, lighting color adjustment, lighting focal length adjustment, lighting rotation, and lighting tilt angle adjustment.

6. The method according to claim 1, characterized in that, The smart wearable device generates a corresponding dimming control command based on the user instruction, and sends the dimming control command to the target photography light to drive the target photography light to perform corresponding light adjustment operations, including: The smart wearable device obtains target parameter adjustment information corresponding to the target photography light to be dimmed according to the user's instructions; The smart wearable device acquires the current values ​​of the target parameters of the target photography light; The smart wearable device calculates the target value of the target parameter corresponding to the target photography light based on the current value of the target parameter of the target photography light and the target parameter adjustment information; The smart wearable device generates a corresponding dimming control command based on the target value of the target parameter corresponding to the target photography light, and sends the dimming control command to the target photography light to drive the target photography light to perform the corresponding light adjustment operation.

7. The method according to claim 1, characterized in that, The smart wearable device generates a corresponding dimming control command based on the user instruction, and sends the dimming control command to the target photography light to drive the target photography light to perform corresponding light adjustment operations, including: The smart wearable device obtains target parameter adjustment information corresponding to the target photography light to be dimmed according to the user's instructions; The smart wearable device generates a corresponding dimming control command based on the target parameter adjustment information corresponding to the target photography light, and sends the dimming control command to the target photography light, so that the target photography light calculates the target value of the target parameter corresponding to the target photography light based on the current value of the target parameter of the target photography light and the target parameter adjustment information, and performs corresponding light adjustment operation based on the target value of the target parameter.

8. The method according to claim 1, characterized in that, The method further includes: The smart wearable device pre-configures the lighting adjustment operation type, adjustment step size, and maximum adjustable value for each type of photographic light.

9. A smart wearable device, characterized in that, include: Bluetooth communication module, through which the smart wearable device can form a Bluetooth mesh network with each photography light; A voice acquisition module, which is used to acquire user voice signals; The main control module is connected to the Bluetooth communication module and the voice acquisition module respectively, and the main control module is used to execute the method according to any one of claims 1-8.

10. The smart wearable device according to claim 9, characterized in that, The smart wearable device also includes: A voice broadcast module is connected to the main control module and is used to broadcast the results of the lighting adjustment operation. and / or a display module, the display module being connected to the main control module, the display module being used to display the result of the light adjustment operation.

11. The smart wearable device according to claim 9, characterized in that, The smart wearable device also includes: An NFC module is connected to the main control module. When the smart wearable device approaches the camera light, the NFC module performs NFC communication and triggers the Bluetooth mesh network.

12. A voice-controlled lighting dimming system, characterized in that, include: The smart wearable device according to any one of claims 9-11; Multiple camera lights are connected to the smart wearable device via Bluetooth mesh networking. Each camera light has a unique device identifier and is configured with a unicast address and / or a multicast address.

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